T. Eng Gan

42 total papers · 615 total citations
29 papers, 476 citations indexed

About

T. Eng Gan is a scholar working on Genetics, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, T. Eng Gan has authored 29 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 9 papers in Pathology and Forensic Medicine and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in T. Eng Gan's work include Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (7 papers) and Atrial Fibrillation Management and Outcomes (6 papers). T. Eng Gan is often cited by papers focused on Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (7 papers) and Atrial Fibrillation Management and Outcomes (6 papers). T. Eng Gan collaborates with scholars based in Australia, United States and India. T. Eng Gan's co-authors include Martin B Van Der Weyden, Gabriele Medley, Peter G. Tipping, Beverley Vollenhoven, Roger E. Peverill, Jerry Koutts, Richard W. Harper, Joseph J. Smolich, John S. Gelman and Barry P. McGrath and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Blood.

In The Last Decade

T. Eng Gan

29 papers receiving 451 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
T. Eng Gan	148	132	102	87	86	29	476
Leonardo Campiotti	174 1.2×	155 1.2×	63 0.6×	55 0.6×	95 1.1×	22	439
Scott Marshall	84 0.6×	141 1.1×	58 0.6×	49 0.6×	73 0.8×	32	468
Carlos Aguilar	87 0.6×	176 1.3×	119 1.2×	120 1.4×	64 0.7×	35	433
G. Tamponi	115 0.8×	177 1.3×	102 1.0×	94 1.1×	66 0.8×	32	504
Ilaria Nichele	207 1.4×	140 1.1×	48 0.5×	51 0.6×	82 1.0×	23	410
Shinya� Fujita	60 0.4×	191 1.4×	136 1.3×	142 1.6×	54 0.6×	53	463
M. Bhavnani	180 1.2×	335 2.5×	69 0.7×	100 1.1×	51 0.6×	23	516
Hélène Haguet	154 1.0×	245 1.9×	103 1.0×	79 0.9×	55 0.6×	22	465
T Barbui	74 0.5×	272 2.1×	68 0.7×	107 1.2×	31 0.4×	34	490
Michiels Jj	119 0.8×	114 0.9×	206 2.0×	301 3.5×	35 0.4×	22	537

Countries citing papers authored by T. Eng Gan

Since Specialization

Citations

This map shows the geographic impact of T. Eng Gan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by T. Eng Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Eng Gan more than expected).

Fields of papers citing papers by T. Eng Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Eng Gan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by T. Eng Gan. The network helps show where T. Eng Gan may publish in the future.

Co-authorship network of co-authors of T. Eng Gan

This figure shows the co-authorship network connecting the top 25 collaborators of T. Eng Gan. A scholar is included among the top collaborators of T. Eng Gan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. Eng Gan. T. Eng Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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